ZeroSCROLLS: Zero-Shot CompaRison Over Long Language Sequences
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What is Zero-SCROLLS?
ZeroSCROLLS is a suite of datasets that require synthesizing information over long texts. The benchmark includes ten natural language tasks across multiple domains, including summarization, question answering, aggregated sentiment classification and information reordering.
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Citing ZeroSCROLLS
Please use the following bibliography to cite ZeroSCROLLS:
@inproceedings{shaham-etal-2023-zeroscrolls,
title = "{Z}ero{SCROLLS}: A Zero-Shot Benchmark for Long Text Understanding",
author = "Shaham, Uri and
Ivgi, Maor and
Efrat, Avia and
Berant, Jonathan and
Levy, Omer",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2023",
month = dec,
year = "2023",
address = "Singapore",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.findings-emnlp.536",
doi = "10.18653/v1/2023.findings-emnlp.536",
pages = "7977--7989"
}
When citing ZeroSCROLLS, please make sure to cite all of the original dataset papers. [bibtex]
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